POST /v1/chat/completionsMiniMax M2.7
MiniMax-M2.7MiniMax M2.7 is presented as a productivity and engineering model for autonomous workflows, multi-agent collaboration, live debugging, and document-heavy work. Public descriptions mention root-cause analysis, financial modeling, and full Word/Excel/PowerPoint-style document generation. It should be described as an applied work model, not just a chat or writing model.
Total Context
204.8Ktokens
Max Output
131.1Ktokens
Released
Mar 18, 2026
Modalities
MiniMax M2.7 Price
| Input Price | Output Price | Cache Read |
|---|---|---|
| $0.3/M | $1.2/M | $0.06/M |
MiniMax M2.7 API
MiniMax M2.7 Benchmark
MiniMax-M2.7
38.1
/100
Artificial Analysis Intelligence Index
Artificial Analysis broad capability aggregate
Index score
41.9
/100
Artificial Analysis Coding Index
Artificial Analysis software task aggregate
Index score
Knowledge & Reasoning
GPQA
Advanced science problem solving
87.4%
HLE
Broad expert-level exam set
28.1%
Coding & Engineering
SciCode
Scientific coding challenges
47%
Terminal-Bench Hard
Hard terminal task execution
39.4%
Instruction Following & Agent Tasks
IFBench
Prompt constraint adherence
75.7%
AA-LCR
Long-context reasoning
68.7%
τ²-Bench
Agent workflow tasks
84.8%
Metrics sourced from Artificial Analysis
MiniMax M2.7 FAQ
MiniMax M2.7: capabilities, use cases, limits, and TokenHub guidance.
What does MiniMax M2.7 focus on?+
MiniMax M2.7 is a MiniMax model for real-world software engineering and agent delivery.
Which projects fit MiniMax M2.7?+
Best for iterative engineering delivery, debugging and refactoring and repository-scale development, especially when long-horizon task completion is the priority.
What is special about MiniMax M2.7?+
Key strength: strong real-world engineering, debugging, and end-to-end delivery.
When is another model better?+
Long autonomous runs can consume substantial time and tokens. For multimodal input, consider MiniMax M3.
How do I avoid ID mistakes?+
Use the exact ID shown by TokenHub; follow your account docs and verify current features.
Media and Discussions
Selected public videos and posts related to this model.
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